#!/bin/bash

GDAL_TILE_PROCESSES=16
GDAL_TILE_ZOOMS=8-14
GDAL_SAMPLING_WARP=cubic
GDAL_SAMPLING_TILE=antialias

# Create virtual dataset with coordinates
gdal_translate -of VRT -a_srs EPSG:4326 -outsize 300% 300% -gcp 4740.0 6210.0 22.708425 56.66593833333334 -gcp 40692.0 6234.0 22.750086666666668 56.66593833333334 -gcp 40770.0 40002.0 22.750086666666668 56.64510833333333 -gcp 4812.0 39954.0 22.708425 56.64510833333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001654-PLANSETE-025-e-2_1654.JPG LVVA-001679-0217-001654-PLANSETE-025-e-2_1654.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4740.0 6210.0\n40692.0 6234.0\n40770.0 40002.0\n4812.0 39954.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001654-PLANSETE-025-e-2_1654.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001654-PLANSETE-025-e-2_1654.vrt LVVA-001679-0217-001654-PLANSETE-025-e-2_1654.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001654-PLANSETE-025-e-2_1654.cut.vrt LVVA-001679-0217-001654-PLANSETE-025-e-2_1654.xyz